文献类型：会议论文

英文题名：Signal decomposition based approach on status recognition of four flutes end milling cutter

作者：Liu, Can[1];Yao, Xifan[2];Lu, Bin[1];Liu, Yan[1]

机构：[1]Guangdong Ocean Univ, Coll Engn, Zhanjiang 524088, Peoples R China;[2]South China Univ Technol, Coll Mech Engn, Guangzhou 510641, Guangdong, Peoples R China

会议论文集：6th World Congress on Intelligent Control and Automation

会议日期：JUN 21-23, 2006

会议地点：Dalian, PEOPLES R CHINA

语种：英文

外文关键词：end milling; status recognition; breakage index; linear machine

外文摘要：Significant index and adaptive algorithm are necessary for recognizing status of milling cutter. The cutting-force-signal wave was decomposed into valley and amplitude, and formulas were deduced to represent their changes when a flute is broken, in feed direction, the ratio of amplitude value to valley value increases, while that in normal direction decreases. Force power spectrum at tooth rotational frequency and that at spindle rotational frequency represents amplitude value and valley value individually, so their ratios in feed and normal directions were taken as signal features, meanwhile, linear machine algorithm was improved and used, with which the experimental milling-tool data are well clustered, this result shows that the index and algorithm are effective.